Artificial Intelligence Engineer

Innovationm; Gurugram District, Bengaluru, Hyderabad; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Innovationm in India is seeking an AI Engineer to design, develop, and deploy Generative AI applications leveraging LLMs and RAG pipelines. You will build agentic AI solutions with LangChain/LangGraph and integrate vector databases for scalable retrieval.

The role requires 4–5 years of experience, strong Python/FastAPI skills, and hands-on work with cloud platforms (AWS/Azure/GCP). Onsite work in Hyderabad/Bangalore/Gurugram, with a 5-day office routine.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Hands-on experience with Generative AI projects and LLMs.

Responsibilities

• Design, develop, and deploy Generative AI applications using LLMs.
• Build end-to-end Retrieval-Augmented Generation (RAG) pipelines with vector databases and embeddings.
• Develop Agentic AI solutions using LangChain, LangGraph, CrewAI, AutoGen, or LlamaIndex.
• Integrate Knowledge Graphs (Neo4j/GraphRAG) with AI applications for better context.
• Develop and optimize REST APIs and backend services using Python and FastAPI.
• Deploy AI solutions on AWS, Azure, or GCP using Docker and CI/CD pipelines.
• Implement Responsible AI practices including guardrails for hallucination, prompt injection, bias mitigation, and data security.
• Collaborate with cross-functional teams to gather requirements and deliver production-ready applications.

Skills

Python

FastAPI

Generative AI

LLMs

RAG

Fine-tuning

LangChain

LangGraph

LlamaIndex

CrewAI

AutoGen

Vector DBs

Pinecone

Chroma

FAISS

Weaviate

Milvus

pgvector

AWS

Azure

GCP

Docker

Git

CI/CD

Education

Bachelor’s or Master’s in CS/AI/Data Science

Tools

Neo4j

Docker

Git

CI/CD

Job description

Role: AI Engineer

Experience Range: 4- 5 years

Location: Hyderabad || Bangalore || Gurugram

Preferred Skill: Python(Fast API), Generative AI (LLMs, RAG, Fine-tuning), Gen AI tools: LangChain / LangGraph / LlamaIndex / CrewAI / AutoGen, Vector Databases (e.g., Pinecone), Cloud(AWS/Azure/GCP)

Work Mode: Onsite (WFO-5 Days)

Role & responsibilities:

• Design, develop, and deploy Generative AI applications using Large Language Models (LLMs) such as GPT, Claude, Llama, and Gemini.
• Build end-to-end Retrieval-Augmented Generation (RAG) pipelines using vector databases, embeddings, hybrid search, and re-ranking techniques.
• Develop Agentic AI solutions using frameworks like LangChain, LangGraph, CrewAI, AutoGen, or LlamaIndex.
• Integrate Knowledge Graphs (Neo4j/GraphRAG) with AI applications to improve contextual reasoning and response accuracy.
• Develop and optimize REST APIs and backend services using Python and FastAPI.
• Deploy AI solutions on AWS, Azure, or GCP using Docker and CI/CD pipelines, ensuring scalability and reliability.
• Implement Responsible AI practices, including guardrails for hallucination, prompt injection, bias mitigation, and data security.
• Collaborate with cross-functional teams to gather requirements, design AI solutions, troubleshoot issues, and deliver production-ready applications.

Preferred candidate profile:

• 46 years of overall software development or AI/ML engineering experience with hands-on Generative AI project exposure.
• Strong proficiency in Python and frameworks such as FastAPI, PyTorch, or TensorFlow.
• Experience building Generative AI applications using LLMs (GPT, Claude, Llama, Gemini, Mistral, etc.).
• Hands-on experience with RAG pipelines, embeddings, vector databases (Pinecone, Chroma, FAISS, Weaviate, Milvus, pgvector), and prompt engineering.
• Experience with Agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or LlamaIndex.
• Practical knowledge of Neo4j, Graph Databases, GraphRAG, and Cypher queries.
• Experience with cloud platforms (AWS, Azure, or GCP), Docker, Git, and CI/CD pipelines.
• Familiarity with SQL/NoSQL databases, ETL processes, and REST APIs.
• Strong analytical, debugging, and problem-solving skills with excellent communication abilities.
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.